Research Article

Use of BP Neural Networks to Determine China’s Regional CO2 Emission Quota

Table 2

Specific explanation of features.

FeatureExplanation

GDP per capita
Energy consumption per capita
Degree of opening to the outside world
Carbon emissions per capita
Cumulative carbon emissions per capita
Total passenger volumeThe number of passengers actually carried by the means of transport in a certain period of time
Disposable income per capita
Industrial structure
Energy consumption per unit of GDP
Energy consumption per unit of industrial added valueEnergy consumption/industrial added value
Electricity consumption per unit of GDPElectricity consumption/GDP
Energy structureCoal-fired energy/energy consumption
Total freight volumeIn a certain period of time, the actual weight of the cargo carried by the means of transport
The number of industrial enterprises above designated sizeIncluding independent auditor industrial enterprises and affiliated industrial production units
Full-time equivalent of R&D personnel in industrial enterprises above designated sizeThe number of full-time staff plus part-time staff is converted to the total number of full-time staff based on workload
Technological levelNumber of patents granted/10,000 people
Forest carbon sinkForest area/total land area
Green areaIncluding park area, production green area, protective green area, subsidiary green area, and other green area
Total gas supplyRefers to the amount of natural gas supplied by gas units during the reporting period
Total supply of liquefied petroleum gasRefers to the amount of liquefied petroleum gas supplied by gas units during the reporting period
Urbanization rateUrban population/population